Software Engineer- Data Platforms and Factory Analytics

Title: Software Engineer – Data Platforms & Factory Analytics Cable Backplane Systems

Location: Valley Green, PA; Nashua, NH; Raleigh, NC; Austin, TX

Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are expanding our team software team. We are currently seeking a Software Engineer for Cable Backplane Systems to join our team.

Our team develops cable backplane system enabling AI Datacenters. The focus of this position is on software development to build and scale data platforms that connect factory test data, manufacturing systems and engineering analysis workflows. This role combines software engineering, data engineering and applied analytics, with opportunities to incorporate AI/ML techniques to improve factory efficiency, product quality and engineering insight and development.

Responsibilities:

• Data & Platform Engineering
  • Design, implement and maintain scalable databases and pipelines for factory and engineering data
  • Integrate data from MES, Lab equipment and Engineering Designs
  • Ensure data integrity and traceability and performance across high volumes
  • Define schemas, and data models that can support analytics, reporting and provide actionable feedback
• Factory & Engineering Integration
  • Work with factory, test and engineering teams to understand data being generated and usage requirements
  • Build APIs and services enabling reliable data transfer
  • Support automation of test result collection, analysis and reporting
• Analytics & AI Enablement
  • Develop infrastructure to support advanced analytics and AI/ML workflows
  • Explore use of AI for yield analysis and predictive insights
  • Collaborate with domain experts to
  • Develop data-driven tools that improve decision-making in factory and engineering environments

Qualifications:

• BS in Computer Science or Computer Engineering
• 5+ years of industry experience with software tools development
• Experience in largescale database design and data pipelines
• Experience in data analytics, statistics, or machine learning workflows
• Familiarity with visualization, dashboards or reporting tools
• Work experience in multi-disciplinary engineering teams
• Comfortable working in a team that shares code and with peer reviews of code
• Hands-on experience with source code control systems, including a habit to make regular check-ins
• Excellent interpersonal communication skills, strong English reading and writing ability
• Self-starter, able to work efficiently without having all details or requirements laid out on the table
• Dynamic and adaptable personality, able to think out of the box